The Biostatistics Shared Resource (BSR) at the University of Arizona Cancer Center brings together expertise in biostatistics, clinical trials, epidemiology, applied mathematics, statistical computing, and database applications.
BSR personnel have wide-ranging involvement across Cancer Center research activities, including clinical, translational, basic, and population-based research. Biostatistical collaboration and consultation have been provided for investigators in each of the Cancer Center Scientific Programs. The BSR is active in all phases of study design, operation, data management, statistical analysis, and manuscript preparation.
BSR ensures excellent and timely biostatistical support in the design and protocol development of laboratory, translational, clinical, and population- based anti-cancer research studies, and provides appropriate state-of-the-art statistical analysis, interpretation, and reporting. It supports University of Arizona Cancer Center clinical trials by serving on the Scientific Review Committee and the University of Arizona Cancer Center Data and Safety Monitoring Board.
To initiate a consultation, please contact Denise Roe at email@example.com.
To build a project, get a quote, or order a service within iLab:
Step 1: Select “About Our Core” to learn more about this Shared Resource.
Step 2: Click here to login or sign up for an iLab account at the University of Arizona. For login help, email iLabfirstname.lastname@example.org.
Step 3: Once the login step is completed, obtaining prices, services and scheduling is available within the iLab system.
Please remember to acknowledge the Cancer Center Support Grant (P30 CA023074) when publishing manuscripts or abstracts that utilized the services of the University of Arizona Cancer Center’s Shared Resources and/or were derived from CCSG pilot funds. Suggested language: "Research reported in this [publication/press release] was supported by the National Cancer Institute of the National Institutes of Health under award number P30 CA023074.
- Clinical protocol development
- Statistical database applications
- Data analysis and reporting
- Statistical consultation and collaboration
- Statistical support for development of funding applications
University of Arizona Cancer Center, Room 1933